1 INTRODUCTION 20
1.1 OBJECTIVES OF THE STUDY 20
1.2 MARKET DEFINITION 20
1.3 MARKET SCOPE 21
1.3.1 REGIONAL SCOPE 21
1.3.2 YEARS CONSIDERED FOR THE STUDY 22
1.4 CURRENCY 22
1.5 USD EXCHANGE RATES, 2016–2018 22
1.6 MARKET STAKEHOLDERS 23

2 RESEARCH METHODOLOGY 24
2.1 RESEARCH DATA 24
2.1.1 SECONDARY DATA 25
2.1.1.1 Secondary sources 26
2.1.2 PRIMARY DATA 26
2.1.2.1 Key data from primary sources 27
2.1.2.2 Breakdown of primaries 28
2.1.3 MARKET DEFINITION & SCOPE 28
2.1.4 SEGMENT DEFINITIONS 28
2.1.4.1 IoT in aviation market, by application 28
2.1.4.2 IoT in aviation market, by component 29
2.1.4.3 IoT in aviation market, by end market 29
2.2 RESEARCH APPROACH AND METHODOLOGY 29
2.2.1 BOTTOM-UP APPROACH 29
2.2.1.1 IoT in aviation market 29
2.2.1.2 IoT in aviation market, by end markets 29
2.2.1.3 IoT in aviation market, by country, 30
2.2.2 TOP-DOWN APPROACH 30
2.2.2.1 IoT in aviation market, by application 30
2.3 DATA TRIANGULATION & VALIDATION 31
2.3.1 TRIANGULATION THROUGH SECONDARY 31
2.3.2 TRIANGULATION THROUGH PRIMARIES 31
2.4 RESEARCH LIMITATIONS 33
2.5 RESEARCH ASSUMPTIONS 34
2.6 RISKS 34

3 EXECUTIVE SUMMARY 35

4 PREMIUM INSIGHTS 38
4.1 ATTRACTIVE OPPORTUNITIES IN IOT IN AVIATION MARKET 38
4.2 IOT IN AVIATION MARKET, BY APPLICATION 38
4.3 IOT IN AVIATION MARKET, BY END MARKET 39
4.4 IOT IN AVIATION MARKET, BY COUNTRY 39

5 MARKET OVERVIEW 40
5.1 INTRODUCTION 40
5.2 MARKET DYNAMICS 40
5.2.1 DRIVERS 41
5.2.1.1 Advancements in wireless network technologies 41
5.2.1.2 Optimization of business processes and increase in connectivity 41
5.2.1.3 Improved passenger experience 41
5.2.1.4 Data gathering 41
5.2.2 OPPORTUNITIES 42
5.2.2.1 Reduction in operational expenses 42
5.2.2.2 Automated aircraft monitoring and reporting 42
5.2.3 CHALLENGES 42
5.2.3.1 Concerns related to data privacy and cybersecurity 42
5.2.3.2 Multiple stakeholders in the aviation industry 43

6 INDUSTRY TRENDS 44
6.1 INTRODUCTION 44
6.2 IOT IN MEGATRENDS 44
6.2.1 IOT IN AUGMENTED REALITY (AR) 44
6.2.2 IOT IN BLOCKCHAIN 44
6.2.3 IOT IN WEARABLES 45
6.3 IOT IN DRONES 45
6.4 INTERNET OF BATTLEFIELD THINGS (IOBT) 45
6.5 EDGE COMPUTING IN IOT 46
6.6 USE CASES: IOT IN AVIATION 46
6.6.1 IOT ENABLED AIRBUS FACTORY 46
6.6.2 IOT IN AIRCRAFT CABIN: AIRBUS’ CONNECTED EXPERIENCE SOLUTION 46
6.6.3 INTEGRATION OF IOT IN BAE SYSTEMS’ MANUFACTURING PLANTS 46
6.6.4 INFORMATION MANAGEMENT SYSTEM IN BOEING’S MANUFACTURING PLANT 46
6.6.5 PRATT & WHITNEY USES IOT SOLUTIONS TO REDUCE UNSCHEDULED MAINTENANCE 47
6.6.6 GENERAL ELECTRIC TO USE IOT FOR PREDICTIVE MAINTENANCE 47
6.6.7 ROLLS-ROYCE WITH MICROSOFT USE IOT TO ADDRESS AFTERMARKET CHALLENGES 47
6.6.8 EASYJET AIRLINE USES IOT WEARABLES 47
6.6.9 VIRGIN ATLANTIC INSTALLS IOT SENSORS ON AIRCRAFT FOR PREDICTIVE MAINTENANCE 47
6.6.10 LUFTHANSA AIRLINES’ ELECTRONIC TAG TO TRACK BAGGAGE 47
6.6.11 DELTA AIRLINE INSTALLS IIOT SOLUTION ON ITS FLEET 47
6.6.12 KLM AIRLINE HAS DEVELOPED AN IOT APPLICATION TO IMPROVE MAINTENANCE EFFICIENCY 48
6.6.13 AIRPORTS IN HELSINKI, LONDON, AND MIAMI USES IOT BEACONS & SENSORS TO TRACK PASSENGERS AND OFFER LOCATION-BASED SERVICES 48
6.6.14 DALLAS FORT WORTH AND LOS ANGELES AIRPORT TO INSTALL IOT FOR SMART BATHROOMS 48

7 IOT IN AVIATION MARKET, BY END MARKET 49
7.1 INTRODUCTION 50
7.2 AIRPORTS 51
7.2.1 AIRPORTS IN LONDON, MIAMI, AND HELSINKI HAVE INSTALLED IOT BEACONS AND SENSORS 51
7.3 AIRLINES 51
7.3.1 QANTAS, KLM, VIRGIN ATLANTIC, AND EASYJET ARE SOME OF THE PIONEERING AIRLINES TO IMPLEMENT IOT 51
7.4 MAINTENANCE, REPAIR, AND OVERHAUL (MRO) 52
7.4.1 IOT SOLUTIONS HELP REDUCE THE RATE OF UNSCHEDULED MAINTENANCE 52
7.5 MANUFACTURERS 53
7.5.1 AIRBUS, BOEING, AND BAE SYSTEMS USING IOT SOLUTIONS TO OPTIMIZE MANUFACTURING PROCESS 53

8 IOT IN AVIATION MARKET, BY APPLICATION 54
8.1 INTRODUCTION 55
8.2 GROUND OPERATIONS 56
8.2.1 PASSENGER PROCESSING 56
8.2.1.1 Passengers can receive checkpoint information in real-time to make their journey more predictable and stress-free 56
8.2.2 BAGGAGE TRACKING 57
8.2.2.1 Baggage tracking reduce passenger inconvenience related with baggage mishandling 57
8.2.3 AIRPORT MAINTENANCE 58
8.2.3.1 Predictive cleaning and smart dispensers can help optimize the maintenance process 58
8.2.4 SECURITY & SURVEILLANCE 58
8.2.4.1 Increasing terrorism and drug trafficking are major reasons for implementing these systems to help detect threats at airports 58
8.2.5 GROUND HANDLING 59
8.2.5.1 Line-up of passenger ladders, fueling systems, ground power unit carts, food carts, and maintenance operations are tracked to ensure their timely operations 59
8.2.6 LOCATION-BASED NAVIGATION & ALERTS 59
8.2.6.1 Provides options to passengers to spend time on airports, and help airlines and airports generate ancillary revenues 59
8.3 PASSENGER EXPERIENCE 60
8.3.1 IN-FLIGHT COMMUNICATION 61
8.3.1.1 In-flight communication can build loyalty among frequent travelers 61
8.3.2 CONNECTED CABIN 61
8.3.2.1 Connected cabins improves in-flight experience 61
8.3.3 PERSONALIZED CUSTOMER SERVICE 62
8.3.3.1 Personalized customer services enhance passenger experience and help generate revenue by airlines 62
8.4 ASSET MANAGEMENT 62
8.4.1 FLEET MANAGEMENT 63
8.4.1.1 Fleet management reduce total miles flown, lower both emissions and noise, and improve access to airports 63
8.4.2 CREW MANAGEMENT 64
8.4.2.1 Crew management solution can help airlines save 3-15% of total crew costs 64
8.4.3 AIRCRAFT MAINTENANCE 64
8.4.3.1 Aircraft maintenance improves airlines and MROs operations by predicting failures in advance 64
8.4.4 AIRCRAFT MANUFACTURING 65
8.4.4.1 Data gathered is used to analyze and identify machine’s maintenance frequency 65
8.5 AIR TRAFFIC MANAGEMENT 65

9 IOT IN AVIATION MARKET, BY COMPONENT 67
9.1 INTRODUCTION 68
9.2 IOT DEVICES 69
9.2.1 SENSORS & ACTUATORS 69
9.2.1.1 Majorly wireless sensors are used due to their ease of plugging 69
9.2.2 PROCESSORS 70
9.2.3 BEACONS 70
9.2.3.1 Beacons are used to track passenger movement and to navigate them 70
9.2.4 CAMERAS 71
9.2.4.1 Cameras are used for security & surveillance 71
9.2.5 TAGS 71
9.2.5.1 Tags are fixed on devices that need to be tracked 71
9.2.6 IOT GATEWAY & NETWORKING DEVICES 72
9.2.6.1 Integration of protocols for networking 72
9.3 IOT SOLUTIONS 72
9.3.1 SOFTWARE & APPLICATIONS 73
9.3.1.1 Enhances operational efficiency 73
9.3.2 PLATFORMS 73
9.3.2.1 Monitor, manage, and control connected devices 73
9.3.2.2 Device management 74
9.3.2.3 Application management 74
9.3.2.4 Network management 74
9.4 SERVICES 75
9.4.1 PROFESSIONAL SERVICES 75
9.4.1.1 Deployment, integration, consulting, and maintenance services 75
9.4.2 MANAGED SERVICES 75
9.4.2.1 Provisioning, cloud infrastructure, and DevOps automation 75
10 REGIONAL ANALYSIS 76
10.1 INTRODUCTION 77
10.2 NORTH AMERICA 78
10.2.1 US 82
10.2.1.1 The necessity to increase operational efficiency is driving the market 82
10.2.2 CANADA 83
10.2.2.1 High investments in IoT is expected to drive the market 83
10.3 EUROPE 84
10.3.1 FRANCE 88
10.3.1.1 Partnerships between aircraft OEMs and IoT players driving the market 88
10.3.2 UK 89
10.3.2.1 Adoption of IoT technology at airports is increasing with the growth in passenger traffic 89
10.3.3 GERMANY 90
10.3.3.1 Partnerships between airlines and IoT platform providers are driving the market 90
10.3.4 REST OF EUROPE 91
10.3.4.1 Presences of major IoT players is driving the market in Rest of Europe 91
10.4 ASIA PACIFIC 92
10.4.1 CHINA 96
10.4.1.1 Large aircraft fleet and initiatives of digital transformation driving the demand for IoT technology 96
10.4.2 INDIA 97
10.4.2.1 New airport projects driving the demand for IoT technology 97
10.4.3 JAPAN 98
10.4.3.1 Advancements in electronics and the presence of IoT players are driving the market 98
10.4.4 REST OF ASIA PACIFIC 99
10.4.4.1 Demand for IoT is driven by increased passenger traffic 99
10.5 REST OF THE WORLD 100
10.5.1 LATIN AMERICA 103
10.5.1.1 Presence of aircraft OEMs driving the market 103
10.5.2 MIDDLE EAST 104
10.5.2.1 Airlines & airports investing in IoT to enhance passenger experience 104
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10.5.3 AFRICA 105
10.5.3.1 Growth in passenger traffic driving the market 105
11 COMPETITIVE LANDSCAPE 106
11.1 INTRODUCTION 106
11.2 COMPETITIVE ANALYSIS 107
11.2.1 COMPETITIVE LEADERSHIP MAPPING 107
11.2.1.1 Visionary leaders 107
11.2.1.2 Innovators 107
11.2.1.3 Dynamic differentiators 107
11.2.1.4 Emerging companies 107
11.3 COMPETITIVE SCENARIO 111
11.3.1 CONTRACTS AND AGREEMENTS 111
11.3.2 NEW PRODUCT LAUNCHES 112
11.3.3 COLLABORATIONS AND PARTNERSHIPS 113

12 COMPANY PROFILES 114
(Business Overview, Products Offered, Recent Developments, SWOT Analysis, MnM View)*
12.1 IBM CORPORATION 114
12.2 HUAWEI TECHNOLOGIES CO., LTD. 119
12.3 CISCO SYSTEMS, INC. 124
12.4 SITAONAIR 128
12.5 TATA SONS PRIVATE LIMITED. 132
12.6 HONEYWELL INTERNATIONAL INC. 136
12.7 AERIS 138
12.8 HAPPIEST MINDS TECHNOLOGIES 139
12.9 AMADEUS IT GROUP SA 140
12.10 WALKBASE 142
12.11 SENDUM WIRELESS CORPORATION 143
12.12 MICROSOFT CORPORATION 144
12.13 PALANTIR TECHNOLOGIES 146
12.14 BLIP SYSTEMS 147
12.15 TECH MAHINDRA LIMITED 149
12.16 SAP SE 150
12.17 ARROW ELECTRONICS, INC. 153
12.18 WIND RIVER SYSTEMS, INC. 154
12.19 UNDAGRID 155
12.20 ZESTIOT 157
*Details on Business Overview, Products Offered, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.

13 APPENDIX 158
13.1 DISCUSSION GUIDE 158
13.2 KNOWLEDGE STORE: 161
13.3 AVAILABLE CUSTOMIZATIONS 163
13.4 RELATED REPORTS 164